markat1 / langchain-powered-rag

Introduction to LangChain v0.1.0 and LCEL: LangChain Powered RAG

Steps to Run:

1. Create a Python 3.11 environment
2. pip install jupyter so you can run the notebook
3. Run through the notebook.

Build 🏗️

Run the notebook (Colab link) and complete the contained tasks:

• 🤝 Breakout Room #1:

  1. Install required libraries
  2. Create a Pinecone Account and Obtain an API Key
  3. Set Environment Variables
  4. Initialize an Index on Pinecone

• 🤝 Breakout Room #2:

  1. Initialize a Simple Chain using LCEL
  2. Implement Naive RAG using LCEL
  3. Create a Simple RAG Application Using Pinecone, OpenAI, and LCEL

Ship 🚢

• The completed notebook.
• 5min. Loom Video

Share 🚀

• Walk through your notebook and explain what you've completed in the Loom video
• Make a social media post about your final application and tag @AIMakerspace
• Share 3 lessons learned
• Share 3 lessons not learned